The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter

作者：

Highlights：

• Reciprocal relationships channel fake news through the network.

• Fake news retweeters have the highest rate of modularity and intra- to inter-links.

• Truth tweeters have the highest values of page rank centrality.

• Super spreaders have lower ratio of followings to followers than unwelcome spreaders.

• More antecedent spreaders leads to the larger time lag of spreading from the users.

摘要

•Reciprocal relationships channel fake news through the network.•Fake news retweeters have the highest rate of modularity and intra- to inter-links.•Truth tweeters have the highest values of page rank centrality.•Super spreaders have lower ratio of followings to followers than unwelcome spreaders.•More antecedent spreaders leads to the larger time lag of spreading from the users.

论文关键词：Fake news,Social network,Spreading process,Graph visualization,Twitter,Social theory

论文评审过程：Received 17 April 2021, Revised 15 October 2021, Accepted 16 October 2021, Available online 22 October 2021, Version of Record 13 November 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116110